Literature DB >> 28860215

American Society of Functional Neuroradiology-Recommended fMRI Paradigm Algorithms for Presurgical Language Assessment.

D F Black1, B Vachha2, A Mian3, S H Faro4, M Maheshwari5, H I Sair4, J R Petrella6, J J Pillai4, K Welker7.   

Abstract

INTRODUCTION: Functional MR imaging is increasingly being used for presurgical language assessment in the treatment of patients with brain tumors, epilepsy, vascular malformations, and other conditions. The inherent complexity of fMRI, which includes numerous processing steps and selective analyses, is compounded by institution-unique approaches to patient training, paradigm choice, and an eclectic array of postprocessing options from various vendors. Consequently, institutions perform fMRI in such markedly different manners that data sharing, comparison, and generalization of results are difficult. The American Society of Functional Neuroradiology proposes widespread adoption of common fMRI language paradigms as the first step in countering this lost opportunity to advance our knowledge and improve patient care. LANGUAGE PARADIGM REVIEW PROCESS: A taskforce of American Society of Functional Neuroradiology members from multiple institutions used a broad literature review, member polls, and expert opinion to converge on 2 sets of standard language paradigms that strike a balance between ease of application and clinical usefulness. ASFNR RECOMMENDATIONS: The taskforce generated an adult language paradigm algorithm for presurgical language assessment including the following tasks: Sentence Completion, Silent Word Generation, Rhyming, Object Naming, and/or Passive Story Listening. The pediatric algorithm includes the following tasks: Sentence Completion, Rhyming, Antonym Generation, or Passive Story Listening. DISCUSSION: Convergence of fMRI language paradigms across institutions offers the first step in providing a "Rosetta Stone" that provides a common reference point with which to compare and contrast the usefulness and reliability of fMRI data. From this common language task battery, future refinements and improvements are anticipated, particularly as objective measures of reliability become available. Some commonality of practice is a necessary first step to develop a foundation on which to improve the clinical utility of this field.
© 2017 by American Journal of Neuroradiology.

Entities:  

Mesh:

Year:  2017        PMID: 28860215     DOI: 10.3174/ajnr.A5345

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  31 in total

1.  Reply.

Authors:  O Foesleitner; K-H Nenning; L Bartha-Doering; C Baumgartner; E Pataraia; D Moser; M Schwarz; V Schmidbauer; J A Hainfellner; T Czech; C Dorfer; G Langs; D Prayer; S Bonelli; G Kasprian
Journal:  AJNR Am J Neuroradiol       Date:  2020-05-21       Impact factor: 3.825

2.  Utilization of functional MRI language paradigms for pre-operative mapping: a systematic review.

Authors:  Hanani Abdul Manan; Elizabeth A Franz; Noorazrul Yahya
Journal:  Neuroradiology       Date:  2019-12-04       Impact factor: 2.804

3.  Feasibility, Contrast Sensitivity and Network Specificity of Language fMRI in Presurgical Evaluation for Epilepsy and Brain Tumor Surgery.

Authors:  Vasileios Kokkinos; Panagiotis Selviaridis; Ioannis Seimenis
Journal:  Brain Topogr       Date:  2021-04-10       Impact factor: 3.020

4.  Neuroplasticity in post-stroke aphasia: A systematic review and meta-analysis of functional imaging studies of reorganization of language processing.

Authors:  Stephen M Wilson; Sarah M Schneck
Journal:  Neurobiol Lang (Camb)       Date:  2020-12-01

5.  Functional MRI Task Comparison for Language Mapping in Neurosurgical Patients.

Authors:  Prashin Unadkat; Luca Fumagalli; Laura Rigolo; Mark G Vangel; Geoffrey S Young; Raymond Huang; Srinivasan Mukundan; Alexandra Golby; Yanmei Tie
Journal:  J Neuroimaging       Date:  2019-01-16       Impact factor: 2.486

6.  Repeatability of language fMRI lateralization and localization metrics in brain tumor patients.

Authors:  Shruti Agarwal; Jun Hua; Haris I Sair; Sachin Gujar; Chetan Bettegowda; Hanzhang Lu; Jay J Pillai
Journal:  Hum Brain Mapp       Date:  2018-08-04       Impact factor: 5.038

7.  Lesion-Specific Language Network Alterations in Temporal Lobe Epilepsy.

Authors:  O Foesleitner; K-H Nenning; L Bartha-Doering; C Baumgartner; E Pataraia; D Moser; M Schwarz; V Schmidbauer; J A Hainfellner; T Czech; C Dorfer; G Langs; D Prayer; S Bonelli; G Kasprian
Journal:  AJNR Am J Neuroradiol       Date:  2020-01-02       Impact factor: 3.825

8.  Improved Task-based Functional MRI Language Mapping in Patients with Brain Tumors through Marchenko-Pastur Principal Component Analysis Denoising.

Authors:  Benjamin Ades-Aron; Gregory Lemberskiy; Jelle Veraart; John Golfinos; Els Fieremans; Dmitry S Novikov; Timothy Shepherd
Journal:  Radiology       Date:  2020-12-08       Impact factor: 11.105

9.  Monolingual and bilingual language networks in healthy subjects using functional MRI and graph theory.

Authors:  Qiongge Li; Luca Pasquini; Gino Del Ferraro; Madeleine Gene; Kyung K Peck; Hernán A Makse; Andrei I Holodny
Journal:  Sci Rep       Date:  2021-05-19       Impact factor: 4.379

Review 10.  Resting State Functional MR Imaging of Language Function.

Authors:  John J Lee; Patrick Luckett; Mohammad M Fakhri; Eric C Leuthardt; Joshua S Shimony
Journal:  Neuroimaging Clin N Am       Date:  2020-10-31       Impact factor: 2.264

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